KEYUR KRUPESH SHAH E-mail: *****.****@****.***.***
*** * **** ******, *** 201, Arlington, TX-76010 Cell: 781-***-****
OBJECTIVE:
Looking for a challenging full time opportunity to contribute to the organization growth and also move ahead with my career by proper application of my skills and abilities.
EDUCATION:
Masters in Electrical Engineering August 2009 – May 2011
University of Texas at Arlington, Texas GPA - 3.25/4.00
Bachelor of Engineering in Electronics August 2004 - June 2009
University of Mumbai, India
TECHNICAL SKILLS:
• Technologies: CDMA, WCDMA, GSM, OFDM, 802.11.
• Platforms: Windows, Macintosh (Apple), LINUX.
• Languages: C, C++, Assembly.
• Tools: MATLAB, Visual Studio. Lab View, PSPICE.
PROJECTS:
• Multimedia Processing:
Implementation, Performance Analysis and Comparison of VP8 (On2 Technologies) with H.264, here the SSIM, PSNR, MSE, bit-rate, encoding times and various other parameters are compared. The two codecs (H.264 and VP8) are studied in detail wherein their features, coding schemes, prediction modes and profiles are compared.
• Digital Video Coding & Digital Image Processing:
Progressive to Interlaced & Interlaced to Progressive transform for video; Scalar & Vector Quantization; Edge Detection; JPEG compression (lossless, baseline, LOCO-developed by HP); Digital Watermarking; 16X16 Intraprediction for H.264; Color Transformations; Comparison of KLT/DCT/DFT; Atmospheric Turbulence Removal; Implementing Weiner, Geometric Mean and Constrained Least Square Filters to Images; 2D-DPCM; Calculating SSIM & UIQI of Images.
• Statistical Signal Processing:
Implementing AR (Autoregressive) spectral estimation; Calculating & Comparing time and ensemble averages for white and colored Gaussian noise; Designing different Shaping filters using Toeplitz Recursion algorithm.
• Estimating the behaviour of Random Signals:
Studying the behaviour of random signals (Rayleigh, Rician, Nakagami etc.) and estimating the distribution of received random signal in presence of direct line of sight and in presence of background noise(multi-path scattering).
• Estimating the Variance and Sample Mean of a large Statistical Data (Random Signals):
Collecting the data using NI-PXI Lab View to study the behaviour of random signal by calculating its sample mean and variance then applying chi-square test to the estimated mean and variance to cross-verify the results.
• Digital Signal Processing:
Basic Matlab programming for calculating convolution, amplitude and phase of various signals; Reconstruction of signals (Nyquist Criterion); Applying different types of bandpass, bandreject and other FIR and IIR filters of nth order.
• Neural Networks:
Studying the conjugate gradient, steepest descent and orthogonal least squares (Schmidt Procedure) algorithms; Designing Functional Link Net (Volterra Filter); Perform Clustering using K-Means and Self Organizing Map (SOM) algorithms.
• MIMO (Multiple Inputs and Multiple Outputs) system simulation
Designed MIMO wireless systems and investigated the performance of spatial multiplexing with dual-polarized antennas and Rayleigh fading channel. Designed a 2X2 & 1X2 transmit diversity scheme using Alamouti Space time block code.
• Design of a UWB Communication system
Designed an Ultra-Wideband (UWB) communication system with the standard UWB channel model IEEE802.15.3a.
• Rate versus Power Control in IS-95 and CDMA2000:
Using Equal Power Allocation, Channel Inversion & Water-Filling Technique on SIMO, MISO, MIMO schemes and finding out the bit rate for variation in power allocation in both IS-95 and CDMA2000.
COURSEWORK:
Random Signals and Noise, Statistical Signal Processing, Digital Video Coding ,Multimedia Processing, Digital Image Processing, Digital Signal Processing, Neural Networks, Information Theory & Coding, Advanced Wireless Communications, Wireless Communication, Digital Communication.
EXTRA-CURRICULAR ACTIVITIES:
Active member of IEEE, IEEE-Signal Processing Society and IEEE Communications Society.
Attended Seminars and Volunteered for The 35th International Conference on Acoustics, Speech & Signal Processing (ICASSP)-2010.